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Data ReportsMarch 7, 2026- Leo

Robocall Statistics 2026: The Numbers Behind the Nuisance

Key Findings

ScamVerify™ analyzed 1,512,857 FTC complaints covering 608,145 unique phone numbers to produce the most comprehensive robocall statistics report available. Here are the headline numbers.

Finding 1: Debt reduction robocalls have the highest automation rate at 89% and the most complaints (345,670).

Finding 2: Lottery and prize scams have the lowest robocall rate at 36% - meaning 64% use live agents, making them the most human-operated scam type.

Finding 3: The top 3 identified scam rings collectively operate 197 phone numbers generating 15,374 complaints.

The Full Data Snapshot

MetricValue
Total FTC complaints1,512,857
Unique scam phone numbers (FTC)608,145
FCC phone complaint summaries70,216
URLhaus malicious domains69,088

Robocall Rate by Category

This is the data that makes this report unique. No other source publishes category-by-category robocall percentages derived from FTC complaint data.

RankCategoryComplaintsRobocall %Human %
1Debt reduction345,67089%11%
2Medical & prescriptions113,15867%33%
3Impersonation (govt/business)154,71667%33%
4Dropped call / no message145,48057%43%
5Computer & tech support6,85758%42%
6Home improvement19,60145%55%
7Warranties & protection13,74252%48%
8Energy & utilities13,56051%49%
9Lotteries & prizes7,47036%64%
10Vacation & timeshares7,18224%76%
11Home security4,25867%33%
12Charities4,21957%43%
13Work from home3,83851%49%
14Other (unclassified)584,52063%37%

What the Robocall Rates Reveal

High automation (75%+): Debt reduction is a volume game. At 89% robocall, these operations blast millions of calls daily at fractions of a cent each. The goal is to generate "press 1" responses from a tiny fraction of recipients.

Medium automation (50-75%): Medical, impersonation, and tech support scams use a mix of automated initial contact and human follow-up. The robocall makes first contact; a live agent handles the actual scam.

Low automation (under 50%): Lottery, timeshare, and home improvement scams rely on human interaction. These require conversation, rapport-building, and adaptation. They have fewer total complaints but potentially higher per-victim losses.

Toll-Free vs Local Numbers

TypeUnique NumbersTotal ComplaintsAvg/Number
Toll-free (800/833/844/855/866/877/888)4,10569,55916.9
Local8,95378,6768.8

Toll-free numbers generate 1.9x more complaints per number than local numbers. This is driven by scam rings that acquire toll-free numbers in sequential blocks.

The Scam Ring Landscape

ScamVerify identified 15 coordinated scam rings through prefix-block analysis. The three largest:

RingPrefixNumbersComplaintsRobocall %Scam Type
#1833-48721357,72891%Debt reduction
#2866-9590/9591294,34787%Debt reduction
#3855-9090333,29986%Debt reduction

Combined: 197 numbers, 15,374 complaints, all focused on debt reduction, all using toll-free prefixes.

Top 10 Area Codes

RankCodeTypeNumbersComplaints
1833Toll-free89219,520
2866Toll-free67013,030
3855Toll-free5479,267
4888Toll-free6818,014
5877Toll-free5177,807
6844Toll-free4947,117
7800Toll-free3044,804
8315Syracuse, NY1232,798
9202Washington, DC1641,592
10201New Jersey1571,416

The Top 10 Most-Reported Numbers

RankNumberComplaintsRobocall %Primary Subject
1(877) 419-66641,77296%Debt reduction
2(866) 959-095766087%Debt reduction
3(866) 959-096061688%Debt reduction
4(833) 487-254353489%Debt reduction
5(866) 959-160648888%Debt reduction
6(877) 556-925547298%Impersonation
7(209) 655-410545788%Debt reduction
8(934) 947-960542592%Debt reduction
9(855) 909-082240491%Debt reduction
10(844) 487-332438484%Debt reduction

9 out of 10 are debt reduction. The sole exception is #6, an impersonation number at 98% robocall.

Pure Robocallers (100% Automated)

These numbers have a perfect 100% robocall rate with 20+ complaints:

NumberComplaintsSubject
(773) 801-3815146Dropped call / no message
(224) 200-9918128Debt reduction
(318) 359-6370116Other
(678) 743-324094Other
(626) 664-163682Debt reduction
(360) 998-044082Debt reduction

These are fully automated lines with zero human interaction.

Methodology

  • Data source: FTC Do Not Call complaints (1,512,857 records), FCC phone complaint summaries (70,216 records), URLhaus malicious domains (69,088 records)
  • Analysis period: All available data through March 2026
  • Robocall classification: Based on FTC complaint field indicating whether the call was a prerecorded/artificial voice message
  • Scam ring detection: Phone numbers grouped by 7-digit prefix, filtered for 3+ numbers and 50+ combined complaints

FAQ

How accurate is the FTC complaint data?

FTC complaint data reflects what consumers voluntarily report. It likely undercounts actual scam call volume by 10-50x (most people do not report). The relative proportions between categories are useful for understanding the scam landscape, but absolute numbers represent minimums.

Why do debt reduction scams dominate so completely?

Three factors: the broadest possible target market (most Americans have debt), the lowest possible cost (89% robocall), and a simple pitch that requires no customization. The economics allow operations to profitably run even with extremely low conversion rates.

How often does this data update?

ScamVerify's FTC data syncs regularly through automated pipeline updates. New complaints are incorporated into our analysis as they are added to the FTC database. Check ScamVerify for the most current data.

Photo by path digital on Unsplash

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